PPT-GPU-powered

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GPU-powered: Transcript

Supercomputing The Next wave of HPC Presented by Shel Waggener HP Materials from Marc Hamilton June 2011 Copyright 2011 HewlettPackard Development Company LP GPUs changing the Economics of Supercomputing. By: Kevin, . Brenton. , and Anna. Materials You Need. A calculator. Carbon Rod/Copper Rod. Aluminum Foil. Small Cylindrical Container. Two 3 Inch Wire. Multi Purpose Pliers . Glue Gun. Drill a hole on the bottom side of the small cylinder. . Acknowledgement: the lecture materials are based on the materials in NVIDIA teaching center CUDA course materials, including materials from Wisconsin (. Negrut. ), North Carolina Charlotte (. Wikinson. Chris Rossbach, Microsoft Research. Jon Currey, Microsoft Research. Emmett . Witchel. , University of Texas at Austin. HotOS. 2011. Lots of GPUs. Must they be so hard to use?. We need dataflow…. GPU Haiku . A Technology Odyssey toward . Omnichannel. Marketing. #NPPROTGC. Nick . Ellinger. Vice President of Strategic . Outreach. . Mothers Against Drunk Driving (MADD). POWERED BY:. Nick Ellinger. MADD VP of Strategic Outreach. A CUDA Approach. Gary . Resnick. Scott . Badenhorst. Department of Computer Science. University of Cape Town. 17 March, 2010. Introduction. Approach. Plan. Outcomes. Overview. Radio Astronomy. By . Ishtiaq. . Hossain. Venkata. Krishna . Nimmagadda. Application of Jacobi Iteration. Cardiac Tissue is considered as a grid of cells.. Each GPU thread takes care of voltage calculation at one cell. This calculation requires Voltage values of neighboring cells. ITK v4 . . summer . meeting. June 28, 2011. Won-. Ki. . Jeong. Harvard University. Overview. Introduction. Current status. Examples. Future work. 2. GPU Acceleration. GPU as a fast co-processor. Massively parallel. ITS Research Computing. Lani. Clough, Mark Reed. markreed@unc.edu. . Objectives. Introductory. level MATLAB course for people who want to learn . parallel and GPU computing . in MATLAB.. Help participants . Rajat Phull, . Srihari. Cadambi, Nishkam Ravi and Srimat Chakradhar. NEC Laboratories America. Princeton, New Jersey, USA.. www.nec-labs.com. OpenFOAM Overview. OpenFOAM stands for:. ‘. O. pen . F. using BU Shared Computing Cluster. Scientific Computing and Visualization. Boston . University. GPU Programming. GPU – graphics processing unit. Originally designed as a graphics processor. Nvidia's. Jason Weber. Performance Lead. Internet Explorer Team. weber@microsoft.com. http://www.ietestdrive.com. http://blogs.msdn.com/ie. IE9 Platform Objectives. Interoperable HTML5. Interpret the same HTML and CSS markup the same way. Jason Weber. Performance Lead. Internet Explorer Team. weber@microsoft.com. http://www.ietestdrive.com. http://blogs.msdn.com/ie. IE9 Platform Objectives. Interoperable HTML5. Interpret the same HTML and CSS markup the same way. CS 179: GPU Programming Lecture 7 Week 3 Goals: Advanced GPU- accelerable algorithms CUDA libraries and tools This Lecture GPU- accelerable algorithms: Reduction Prefix sum Stream compaction Sorting (quicksort) Powered by TCPDF wwwtcpdforgPowered by TCPDF wwwtcpdforg

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